Liztek Data strategy implement and monitor refers to the process of putting into action a plan that outlines how an organization will manage, analyze, and use its data to achieve its business objectives, and then continually monitoring and refining that plan to ensure its effectiveness.

The implementation of a data strategy typically involves activities such as defining business objectives, assessing data maturity, developing a data governance framework, designing a data architecture, implementing data management tools, and monitoring data quality.

Monitoring the data strategy involves measuring its effectiveness in achieving the organization’s objectives, identifying areas for improvement, and making necessary adjustments to the strategy. This helps ensure that the data strategy remains aligned with the organization’s evolving business needs and technological advancements.

By implementing and monitoring a data strategy, an organization can gain valuable insights from its data, improve decision-making, and ultimately achieve greater business success through Liztek.

Liztek consultants typically undertake the following steps for implementing and monitoring a data strategy:

1. Define business objectives: The first step is to define the business objectives that the data strategy is intended to achieve. This involves understanding the organization’s goals, identifying the key performance indicators (KPIs), and determining how data can be used to achieve those objectives.
   
   
2. Assess Data maturity: The next step is to assess the organization’s data maturity. This involves evaluating the organization’s existing data management capabilities, identifying gaps, and determining what improvements are needed.
   
   
3. Define data governance framework: Once the organization’s data maturity has been assessed, the next step is to define a data governance framework. This involves establishing policies, procedures, and standards for managing data across the organization.
   
   
4. Develop data architecture: Liztek consultants develop data architecture that aligns with the organization’s business objectives and data governance framework. This involves designing the structure and flow of data across the organization, including data storage, processing, and analysis.
   
   
5. Implement data management tools: After the data architecture has been developed, the next step is to implement data management tools that align with the organization’s needs. This includes tools for data ingestion, data processing, data storage, and data analysis.
6. Monitor data quality: Once the data strategy has been implemented, the next step is to monitor data quality. This involves establishing data quality metrics, measuring data quality, identifying data quality issues, and implementing processes to address those issues.
   
   
7. Evaluate performance: The final step is to evaluate the performance of the data strategy. This involves measuring the effectiveness of the data strategy in achieving the organization’s business objectives, identifying areas for improvement, and making necessary adjustments to the strategy.